Selected Product:
| Statistical Methods for Psychology
Hardcover
Edition: 6
Author: David C. Howell
Publisher: Wadsworth Publishing
Release Date: 2006-05-08
ISBN-10: 0495012874
ISBN-13: 9780495012870
List Price: $165.95
Average Customer Rating:
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Summaries and Customer Reviews are supplied by Amazon.com
STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis, this Sixth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.
Excellent!
| Customer Rating: | | A wonderful introduction to a wide variety of statistical methods useful in the social sciences. Examples are well-developed, and the writing is both clear and inviting. Bravo. |
review on statistical methods for Psychology
| Customer Rating: | | nice book with wide cover of all the statistical techniques and introduction about how to apply the statisical methods with different software. Also, the writing style is friendly and it could be easily understood. |
Difficult text, much better available
| Customer Rating: | This is a difficult text, not only due to overly complex mathmatical coverage, but also due to the fact that answers are only given for half the questions asked in the textbook! That's right, only odd numbered are answered, making it impossible to check your work unless you purchase an Instructors Edition. It also focuses heavily on Minitab, and leaves out SPSS coverage which is the most widely used stats program for psychology. A much better approach is given in Statistics For People Who (Think They) Hate Statistics, which is dead simple and focuses on SPSS.
Cavet emptor, buyer beware! |
It's okay
| Customer Rating: | | This book is outrageously priced, with the nasty textbook manufacturer trick of putting out a new edition so you can't dump it at the bookstore. Other than that it is okay. It's laid out in a neat paragraph format and the text is actually not a strain on my eyes. |
Outstanding Text and Reference not for typical beginners
| Customer Rating: | Howell's book has been around now for 6 editions - you simply do not get to that stage of publishing a technical book without doing many things very well. I have taught advanced statistics to graduate students and professionals in a variety of programs and settings for over 20 years, and
for an advanced basic course in statistics for graduate students or for knowledgeable professionals, I would not teach from any other text for this level of statistics. If graduate students understood most of the content of this text, they would be better equiped researchers than most currently are for sure. It is true that if this book were to be your first treatment of statistics or if your first course was really not all that thorough or was a long time ago, this text might be difficult for you - but not because the text is poorly done. I also refer this text to graduate students, new Ph.D.s, experienced Ph.D.s who are not statistical experts, and other researchers as a desk reference, and I keep it on my desk and keep a copy in my research lab for my research assistants. Graduate students have always consistently strongly praised the book at the end of the semesters when I have used it. Frankly, I suspect other reviewers of this book who give it low marks have ulterior motives such as steering folks to other specific texts. In this veign, I do not personally know the author, but the author David Howell is a highly respected psychologist with true expertise in statistical methods and who served as chair of his department prior up to his relatively recent retirement at the University of Vermont. |
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